Trying connect to some sites with Jsoup on Android, and it throws java.lang.OutOfMemoryError exception.
Example:
Jsoup.connect("http://www.xbox360achievements.org/game/grand-theft-auto-iv/guide/").get();
What could be done to avoid this problem?
Jsoup 1.7.1
An OutOfMemoryError means that your application is using more memory than is available to it. (Duh!)
Your options are:
Increase the amount of memory that the app is allowed to use.
Decrease the amount of memory that the app does use. For instance:
Don't read and buffer the entire document before parsing it with jsoup.
Make sure that you are not keeping too much information in memory from the pages you are crawling. Either write it to the file system, or "reduce" it on the fly.
Profile the app's memory usage to look for leaks and other problems with excessive memory use.
It seems the get method stores everything in memory, hence when you load a large content you get OOME
From what I can see your options are:
Load a smaller document, the document you're trying to load seem to be big. Memory is premium especially on handheld devices
Preprocess the documents in chunks and process them one at a time so you don't use as much memory
Run your program on an environment with bigger memory
Figure out if Jsoup can do buffered IO, if not use a different library or write your own. With buffered IO you only read and process chunks of the data at once, so you don't use too much memory space
Related
I am iterating through all 30 large files, parse each using CSVParser, and convert each line to some object. I use java 8's parallel stream to hopefully be able to load them in parallel. But I am getting Java heap space error. I tried increasing the memory to -Xmx1024m but still got the heap space error. How should I be doing the loading of these files efficiently?
The problem is that you are attempting to load too much information into memory. Either way you do it (in parallel, or one file at a time), you will run out of memory if you want to hold too many objects in memory at the same time.
This is not an "efficiency" problem. It is a more fundamental problem with the design of your application. Ask yourself why you need to hold all of those object in memory at the same time, and whether you can either avoid that or reduce the space needed to represent the information you need.
I am trying to parse a large excel file(.xlsx) using Apache POI XSSF library. After 100,000 rows it throws heap space error. I tried increasing the memory but it does not help. Is there a workaround for this problem? Or can someone suggest me a another library to parse large excel files.
Thanks!
You can use http://poi.apache.org/spreadsheet/how-to.html#xssf_sax_api
Have a look at this thread for details.
Efficient way to search records from an excel file using Apache-POI
Try the latest (stable!) Version from Apache POI.
Alternatives might be smartXLS
When facing the most common OutOfMemoryError, namely the one "java.lang.OutOfMemoryError: Java heap space", some simple aspects must first be understood.
Java applications are allowed to use a limited amount of memory. This limit is specified during application startup. To make things more complex, Java memory is separated different regions named heap space and permgen.
The size of those regions is set during the Java Virtual Machine (JVM) launch by specifying parameters such as -Xmx and -XX:MaxPermSize. If you do not explicitly set the sizes, platform-specific defaults will be used.
So – the “[java.lang.OutOfMemoryError: Java heap space][1]” error will be triggered when you try to add more data into the heap space area, but there is not enough room for it.
Based on this simple description, you have two options
Give more room to the data structures
Reduce the size of the data structures used
Giving more room is easy - just increase the heap size by changing the -Xmx parameter, similar to the following example giving your Java process 1G of heap to play with:
java -Xmx1024m com.mycompany.MyClass
Reducing the size of the data structures typically takes more effort, but this might be necessary in order to get rid of the underlying problems - giving more room can sometimes just mask the symptoms and postpone the inevitable. For example, when facing a memory leak you are just postponing the time when all the memory is filled with leaking garbage.
In your case, reading the data in smaller batches and processing each batch at the time might be an option.
I am using Java Spring ibatis
I have java based reporting application which displays large amount of data. I notice when system try to process large amount of data it throws "out of memory" error.
I know either we can increase the memory size or we can introduce paging in reporting application.
any idea ? i am curious if there is some thing like if list object is large enough split it into memory and disk so we don't have to make any major change in the application code ?
any suggestion appreciated.
The first thing to do should be to check exactly what is causing you to run out of memory.
Add the following to your command line
-XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/where/you/want
This will generate a heap dump hprof file.
You can use something like the Eclipse Memory Analyser Tool to see which part of the heap (if at all) you need to increase or whether you have a memory leak.
I have an code which reads lots of data from a file and writes that to an excel file. The problem im facing is, when the data goes beyond the limit of heap size, its throwing an out of memory exception. I tried increasing the heap size and the program ran normally. But the problem is, there is limited RAM on my machine and if I dedicate huge space to the heap, the machine is becoming very slow. So, is there any way to free the memory after the processing some limit of data so that I need not increase my Heap size for running my code? Im relatively new to this kind of stuff, so please suggest some ideas
In cases like this you need to restructure your code, so that it works with small chunks of data. Create a small buffer, read the data into it, process it and write it to the Excel file. Then continue with the next iteration, reading into the same buffer.
Of course the Excel library you are using needs to be able to work like this and shouldn't requiring writing the whole file in a single go.
I think, JXL API provides such kind of limited buffer functionality.It's an open source API.
http://jexcelapi.sourceforge.net/
You can use DirectByteBuffer with Buffer.allocateDirect(byteSize); or MemoryMappedFile, they use memory space out of heap memory.
I'm creating a Java application for image processing , and after a while of working on this program I got Out of memory exception because I think the Image objects taking a lot of memory space ,I can save the images as files to hard disk and read them when i need but that may took milli-seconds vs Nano-seconds if I use RAM with object.what I can do to solve this?
First of all, use a memory profiler such as YourKit to figure out what it is exactly that's consuming the memory (for example, it could be due to the accidental retention of some unneeded references). Once you understand how your program is actually using the memory, you can formulate a plan of attack.
Perhaps you have issues with not disposing images you are not using.